Overview

Dataset statistics

Number of variables18
Number of observations731
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory102.9 KiB
Average record size in memory144.2 B

Variable types

Numeric16
Categorical1
Unsupported1

Alerts

Precipitation (in) has constant value "0.0"Constant
Temperature (°F)_Max is highly overall correlated with Temperature (°F)_Avg and 6 other fieldsHigh correlation
Temperature (°F)_Avg is highly overall correlated with Temperature (°F)_Max and 6 other fieldsHigh correlation
Temperature (°F)_Min is highly overall correlated with Temperature (°F)_Max and 4 other fieldsHigh correlation
Dew Point (°F)_Max is highly overall correlated with Temperature (°F)_Max and 4 other fieldsHigh correlation
Dew Point (°F)_Avg is highly overall correlated with Temperature (°F)_Max and 4 other fieldsHigh correlation
Dew Point (°F)_Min is highly overall correlated with Temperature (°F)_Max and 4 other fieldsHigh correlation
Humidity (%)_Max is highly overall correlated with Humidity (%)_AvgHigh correlation
Humidity (%)_Avg is highly overall correlated with Temperature (°F)_Max and 3 other fieldsHigh correlation
Humidity (%)_Min is highly overall correlated with Temperature (°F)_Max and 2 other fieldsHigh correlation
Wind Speed (mph)_Max is highly overall correlated with Wind Speed (mph)_AvgHigh correlation
Wind Speed (mph)_Avg is highly overall correlated with Wind Speed (mph)_Max and 1 other fieldsHigh correlation
Wind Speed (mph)_Min is highly overall correlated with Wind Speed (mph)_AvgHigh correlation
Pressure (in)_Max is highly overall correlated with Pressure (in)_Avg and 1 other fieldsHigh correlation
Pressure (in)_Avg is highly overall correlated with Pressure (in)_Max and 1 other fieldsHigh correlation
Pressure (in)_Min is highly overall correlated with Pressure (in)_Max and 1 other fieldsHigh correlation
Дата is an unsupported type, check if it needs cleaning or further analysisUnsupported
Wind Speed (mph)_Min has 504 (68.9%) zerosZeros

Reproduction

Analysis started2023-02-05 17:19:36.019293
Analysis finished2023-02-05 17:20:55.458535
Duration1 minute and 19.44 seconds
Software versionpandas-profiling vv3.6.2
Download configurationconfig.json

Variables

day_of_week
Real number (ℝ)

Distinct31
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.738714
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:20:55.707760image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8099488
Coefficient of variation (CV)0.55976294
Kurtosis-1.1948637
Mean15.738714
Median Absolute Deviation (MAD)8
Skewness0.0060078758
Sum11505
Variance77.615198
MonotonicityNot monotonic
2023-02-05T19:20:55.998132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 24
 
3.3%
2 24
 
3.3%
28 24
 
3.3%
27 24
 
3.3%
26 24
 
3.3%
25 24
 
3.3%
24 24
 
3.3%
23 24
 
3.3%
22 24
 
3.3%
21 24
 
3.3%
Other values (21) 491
67.2%
ValueCountFrequency (%)
1 24
3.3%
2 24
3.3%
3 24
3.3%
4 24
3.3%
5 24
3.3%
6 24
3.3%
7 24
3.3%
8 24
3.3%
9 24
3.3%
10 24
3.3%
ValueCountFrequency (%)
31 14
1.9%
30 22
3.0%
29 23
3.1%
28 24
3.3%
27 24
3.3%
26 24
3.3%
25 24
3.3%
24 24
3.3%
23 24
3.3%
22 24
3.3%

Temperature (°F)_Max
Real number (ℝ)

Distinct39
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.909713
Minimum25
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:20:56.305842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile34
Q150
median68
Q379
95-th percentile86
Maximum93
Range68
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.392489
Coefficient of variation (CV)0.27214157
Kurtosis-1.0111338
Mean63.909713
Median Absolute Deviation (MAD)13
Skewness-0.40653129
Sum46718
Variance302.49869
MonotonicityNot monotonic
2023-02-05T19:20:56.598655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
79 40
 
5.5%
81 40
 
5.5%
77 39
 
5.3%
75 36
 
4.9%
70 34
 
4.7%
84 34
 
4.7%
82 29
 
4.0%
61 27
 
3.7%
72 23
 
3.1%
86 22
 
3.0%
Other values (29) 407
55.7%
ValueCountFrequency (%)
25 1
 
0.1%
27 6
 
0.8%
28 6
 
0.8%
30 10
1.4%
32 6
 
0.8%
34 15
2.1%
36 15
2.1%
37 17
2.3%
39 21
2.9%
41 21
2.9%
ValueCountFrequency (%)
93 5
 
0.7%
91 6
 
0.8%
90 7
 
1.0%
88 17
2.3%
86 22
3.0%
84 34
4.7%
82 29
4.0%
81 40
5.5%
79 40
5.5%
77 39
5.3%

Temperature (°F)_Avg
Real number (ℝ)

Distinct399
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.096443
Minimum17.7
Maximum79.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:20:56.942109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum17.7
5-th percentile27.8
Q140.4
median54.6
Q366.3
95-th percentile72.85
Maximum79.2
Range61.5
Interquartile range (IQR)25.9

Descriptive statistics

Standard deviation14.864138
Coefficient of variation (CV)0.27994602
Kurtosis-1.0756579
Mean53.096443
Median Absolute Deviation (MAD)12.6
Skewness-0.29531093
Sum38813.5
Variance220.94259
MonotonicityNot monotonic
2023-02-05T19:20:57.448260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.8 6
 
0.8%
63.9 6
 
0.8%
55.3 5
 
0.7%
71.8 5
 
0.7%
47.3 5
 
0.7%
72.5 5
 
0.7%
65.2 4
 
0.5%
65 4
 
0.5%
38.8 4
 
0.5%
71 4
 
0.5%
Other values (389) 683
93.4%
ValueCountFrequency (%)
17.7 1
0.1%
20.2 1
0.1%
22.3 2
0.3%
22.4 1
0.1%
22.8 1
0.1%
23 1
0.1%
23.3 2
0.3%
23.5 2
0.3%
24.2 1
0.1%
24.3 1
0.1%
ValueCountFrequency (%)
79.2 1
0.1%
78.7 1
0.1%
78.6 1
0.1%
77.8 1
0.1%
77.5 1
0.1%
77.1 1
0.1%
77 1
0.1%
76.4 2
0.3%
76.3 1
0.1%
75.8 1
0.1%

Temperature (°F)_Min
Real number (ℝ)

Distinct33
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.098495
Minimum10
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:20:57.745546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile21
Q132
median43
Q355
95-th percentile63
Maximum68
Range58
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.588921
Coefficient of variation (CV)0.3152992
Kurtosis-1.02059
Mean43.098495
Median Absolute Deviation (MAD)12
Skewness-0.20319194
Sum31505
Variance184.65878
MonotonicityNot monotonic
2023-02-05T19:20:58.048286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
57 41
 
5.6%
61 40
 
5.5%
55 40
 
5.5%
34 39
 
5.3%
59 36
 
4.9%
52 34
 
4.7%
50 32
 
4.4%
41 31
 
4.2%
30 30
 
4.1%
36 30
 
4.1%
Other values (23) 378
51.7%
ValueCountFrequency (%)
10 2
 
0.3%
12 1
 
0.1%
14 6
 
0.8%
16 9
 
1.2%
18 10
 
1.4%
19 3
 
0.4%
21 10
 
1.4%
23 27
3.7%
25 22
3.0%
27 19
2.6%
ValueCountFrequency (%)
68 2
 
0.3%
66 7
 
1.0%
64 11
 
1.5%
63 26
3.6%
61 40
5.5%
59 36
4.9%
57 41
5.6%
55 40
5.5%
54 22
3.0%
52 34
4.7%

Dew Point (°F)_Max
Real number (ℝ)

Distinct31
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.347469
Minimum14
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:20:58.345274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile27
Q137
median48
Q357
95-th percentile64
Maximum70
Range56
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.31247
Coefficient of variation (CV)0.26565571
Kurtosis-0.99745887
Mean46.347469
Median Absolute Deviation (MAD)11
Skewness-0.20463436
Sum33880
Variance151.59691
MonotonicityNot monotonic
2023-02-05T19:20:58.636696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
57 40
 
5.5%
61 39
 
5.3%
55 38
 
5.2%
54 38
 
5.2%
41 35
 
4.8%
43 34
 
4.7%
46 34
 
4.7%
63 33
 
4.5%
52 33
 
4.5%
50 33
 
4.5%
Other values (21) 374
51.2%
ValueCountFrequency (%)
14 1
 
0.1%
16 1
 
0.1%
19 2
 
0.3%
21 4
 
0.5%
23 13
1.8%
25 13
1.8%
27 19
2.6%
28 23
3.1%
30 23
3.1%
32 32
4.4%
ValueCountFrequency (%)
70 2
 
0.3%
68 7
 
1.0%
66 13
 
1.8%
64 26
3.6%
63 33
4.5%
61 39
5.3%
59 33
4.5%
57 40
5.5%
55 38
5.2%
54 38
5.2%

Dew Point (°F)_Avg
Real number (ℝ)

Distinct371
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.167715
Minimum11.3
Maximum66.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:20:58.940478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11.3
5-th percentile22
Q131.75
median42.7
Q353
95-th percentile60.2
Maximum66.1
Range54.8
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation12.460493
Coefficient of variation (CV)0.29549841
Kurtosis-1.0184893
Mean42.167715
Median Absolute Deviation (MAD)10.6
Skewness-0.16969956
Sum30824.6
Variance155.26389
MonotonicityNot monotonic
2023-02-05T19:20:59.258372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.9 7
 
1.0%
47.3 7
 
1.0%
54.7 5
 
0.7%
35.8 5
 
0.7%
58.5 5
 
0.7%
34 5
 
0.7%
56.9 5
 
0.7%
58.8 5
 
0.7%
46 5
 
0.7%
50.4 5
 
0.7%
Other values (361) 677
92.6%
ValueCountFrequency (%)
11.3 2
0.3%
13.2 1
0.1%
14.2 1
0.1%
15.8 1
0.1%
15.9 1
0.1%
16.1 1
0.1%
17.3 1
0.1%
17.5 1
0.1%
17.7 1
0.1%
17.9 1
0.1%
ValueCountFrequency (%)
66.1 1
0.1%
65 1
0.1%
64.9 1
0.1%
64.8 1
0.1%
64.7 2
0.3%
64.6 1
0.1%
63.7 1
0.1%
63.6 1
0.1%
63.2 1
0.1%
62.8 2
0.3%

Dew Point (°F)_Min
Real number (ℝ)

Distinct33
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.491108
Minimum7
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:20:59.674729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile16
Q127
median37
Q348
95-th percentile55
Maximum64
Range57
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.933375
Coefficient of variation (CV)0.34497179
Kurtosis-0.94390885
Mean37.491108
Median Absolute Deviation (MAD)11
Skewness-0.13974054
Sum27406
Variance167.27218
MonotonicityNot monotonic
2023-02-05T19:20:59.965634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
55 38
 
5.2%
30 37
 
5.1%
43 36
 
4.9%
23 35
 
4.8%
46 35
 
4.8%
50 34
 
4.7%
52 34
 
4.7%
39 32
 
4.4%
54 32
 
4.4%
25 32
 
4.4%
Other values (23) 386
52.8%
ValueCountFrequency (%)
7 3
 
0.4%
9 1
 
0.1%
10 6
 
0.8%
12 9
 
1.2%
14 7
 
1.0%
16 14
 
1.9%
18 9
 
1.2%
19 21
2.9%
21 30
4.1%
23 35
4.8%
ValueCountFrequency (%)
64 1
 
0.1%
63 4
 
0.5%
61 10
 
1.4%
59 6
 
0.8%
57 13
 
1.8%
55 38
5.2%
54 32
4.4%
52 34
4.7%
50 34
4.7%
48 30
4.1%

Humidity (%)_Max
Real number (ℝ)

Distinct27
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.785226
Minimum49
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:21:00.283480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile77
Q187.5
median93
Q3100
95-th percentile100
Maximum100
Range51
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6764433
Coefficient of variation (CV)0.083634847
Kurtosis2.3958115
Mean91.785226
Median Absolute Deviation (MAD)6
Skewness-1.2565209
Sum67095
Variance58.927781
MonotonicityNot monotonic
2023-02-05T19:21:00.588525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
100 207
28.3%
93 147
20.1%
94 121
16.6%
88 71
 
9.7%
87 62
 
8.5%
82 25
 
3.4%
86 22
 
3.0%
81 19
 
2.6%
76 9
 
1.2%
72 9
 
1.2%
Other values (17) 39
 
5.3%
ValueCountFrequency (%)
49 1
 
0.1%
60 1
 
0.1%
61 1
 
0.1%
63 1
 
0.1%
65 1
 
0.1%
67 2
0.3%
68 4
0.5%
69 1
 
0.1%
70 1
 
0.1%
71 1
 
0.1%
ValueCountFrequency (%)
100 207
28.3%
94 121
16.6%
93 147
20.1%
92 2
 
0.3%
88 71
 
9.7%
87 62
 
8.5%
86 22
 
3.0%
83 3
 
0.4%
82 25
 
3.4%
81 19
 
2.6%

Humidity (%)_Avg
Real number (ℝ)

Distinct376
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.251163
Minimum37.3
Maximum98.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:21:01.069154image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum37.3
5-th percentile50.95
Q161.35
median69.4
Q379.3
95-th percentile90.75
Maximum98.7
Range61.4
Interquartile range (IQR)17.95

Descriptive statistics

Standard deviation12.332413
Coefficient of variation (CV)0.17554746
Kurtosis-0.49895264
Mean70.251163
Median Absolute Deviation (MAD)8.7
Skewness0.056066774
Sum51353.6
Variance152.08842
MonotonicityNot monotonic
2023-02-05T19:21:01.438510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.3 7
 
1.0%
72.8 6
 
0.8%
65.2 6
 
0.8%
66.8 6
 
0.8%
67.8 5
 
0.7%
73.1 5
 
0.7%
72.3 5
 
0.7%
70.3 5
 
0.7%
65.8 5
 
0.7%
69.4 5
 
0.7%
Other values (366) 676
92.5%
ValueCountFrequency (%)
37.3 1
0.1%
39.9 1
0.1%
40 2
0.3%
40.6 1
0.1%
41 1
0.1%
42.7 1
0.1%
42.9 1
0.1%
43.1 1
0.1%
43.5 1
0.1%
44.1 2
0.3%
ValueCountFrequency (%)
98.7 2
0.3%
98.3 2
0.3%
97.8 1
0.1%
97.5 1
0.1%
97.1 1
0.1%
96.8 2
0.3%
96.6 1
0.1%
96.4 1
0.1%
95.6 2
0.3%
95.5 2
0.3%

Humidity (%)_Min
Real number (ℝ)

Distinct71
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.655267
Minimum12
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:21:01.789018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile23
Q133
median43
Q358
95-th percentile81
Maximum93
Range81
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.104156
Coefficient of variation (CV)0.38804098
Kurtosis-0.32029437
Mean46.655267
Median Absolute Deviation (MAD)12
Skewness0.65407857
Sum34105
Variance327.76045
MonotonicityNot monotonic
2023-02-05T19:21:02.095706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 30
 
4.1%
44 26
 
3.6%
35 25
 
3.4%
38 21
 
2.9%
37 21
 
2.9%
34 19
 
2.6%
29 19
 
2.6%
47 18
 
2.5%
28 18
 
2.5%
33 17
 
2.3%
Other values (61) 517
70.7%
ValueCountFrequency (%)
12 1
 
0.1%
14 1
 
0.1%
15 2
 
0.3%
16 1
 
0.1%
17 2
 
0.3%
18 1
 
0.1%
19 5
0.7%
20 8
1.1%
21 6
0.8%
22 8
1.1%
ValueCountFrequency (%)
93 14
1.9%
88 3
 
0.4%
87 7
1.0%
86 2
 
0.3%
82 6
 
0.8%
81 15
2.1%
80 3
 
0.4%
77 1
 
0.1%
76 12
1.6%
75 17
2.3%

Wind Speed (mph)_Max
Real number (ℝ)

Distinct26
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.956224
Minimum2
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:21:02.438271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q110
median14
Q317
95-th percentile22
Maximum36
Range34
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.8059038
Coefficient of variation (CV)0.34435558
Kurtosis0.61504774
Mean13.956224
Median Absolute Deviation (MAD)3
Skewness0.41592433
Sum10202
Variance23.096711
MonotonicityNot monotonic
2023-02-05T19:21:02.758924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
13 81
11.1%
14 77
10.5%
15 73
10.0%
12 73
10.0%
17 52
 
7.1%
10 51
 
7.0%
16 45
 
6.2%
9 41
 
5.6%
18 36
 
4.9%
20 30
 
4.1%
Other values (16) 172
23.5%
ValueCountFrequency (%)
2 1
 
0.1%
3 5
 
0.7%
5 12
 
1.6%
6 22
 
3.0%
7 28
 
3.8%
8 29
 
4.0%
9 41
5.6%
10 51
7.0%
12 73
10.0%
13 81
11.1%
ValueCountFrequency (%)
36 1
 
0.1%
32 1
 
0.1%
29 2
 
0.3%
28 2
 
0.3%
26 3
 
0.4%
25 3
 
0.4%
24 11
1.5%
23 9
 
1.2%
22 23
3.1%
21 20
2.7%

Wind Speed (mph)_Avg
Real number (ℝ)

Distinct134
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4766074
Minimum1.2
Maximum18.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:21:03.088460image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile2.6
Q14.3
median5.8
Q38.1
95-th percentile12.5
Maximum18.4
Range17.2
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation3.0579002
Coefficient of variation (CV)0.47214537
Kurtosis0.73949801
Mean6.4766074
Median Absolute Deviation (MAD)1.8
Skewness0.94484351
Sum4734.4
Variance9.3507534
MonotonicityNot monotonic
2023-02-05T19:21:03.378654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.3 17
 
2.3%
4.1 17
 
2.3%
4.8 17
 
2.3%
4.3 16
 
2.2%
4.7 14
 
1.9%
5.6 13
 
1.8%
6.2 13
 
1.8%
6.8 13
 
1.8%
5 12
 
1.6%
5.8 12
 
1.6%
Other values (124) 587
80.3%
ValueCountFrequency (%)
1.2 1
 
0.1%
1.3 3
0.4%
1.4 1
 
0.1%
1.5 1
 
0.1%
1.6 4
0.5%
1.7 3
0.4%
1.8 1
 
0.1%
1.9 4
0.5%
2 2
0.3%
2.1 3
0.4%
ValueCountFrequency (%)
18.4 1
0.1%
17.6 1
0.1%
17.1 1
0.1%
16.6 1
0.1%
16.2 1
0.1%
16 1
0.1%
15.4 1
0.1%
15.2 1
0.1%
15 2
0.3%
14.8 2
0.3%

Wind Speed (mph)_Min
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98221614
Minimum0
Maximum12
Zeros504
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:21:03.705606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.9796114
Coefficient of variation (CV)2.015454
Kurtosis6.0953105
Mean0.98221614
Median Absolute Deviation (MAD)0
Skewness2.485187
Sum718
Variance3.9188614
MonotonicityNot monotonic
2023-02-05T19:21:04.001988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 504
68.9%
1 66
 
9.0%
2 60
 
8.2%
3 36
 
4.9%
5 26
 
3.6%
7 16
 
2.2%
6 8
 
1.1%
8 6
 
0.8%
9 6
 
0.8%
10 2
 
0.3%
ValueCountFrequency (%)
0 504
68.9%
1 66
 
9.0%
2 60
 
8.2%
3 36
 
4.9%
5 26
 
3.6%
6 8
 
1.1%
7 16
 
2.2%
8 6
 
0.8%
9 6
 
0.8%
10 2
 
0.3%
ValueCountFrequency (%)
12 1
 
0.1%
10 2
 
0.3%
9 6
 
0.8%
8 6
 
0.8%
7 16
 
2.2%
6 8
 
1.1%
5 26
 
3.6%
3 36
4.9%
2 60
8.2%
1 66
9.0%

Pressure (in)_Max
Real number (ℝ)

Distinct12
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.25814
Minimum27.7
Maximum28.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:21:04.278893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum27.7
5-th percentile28
Q128.2
median28.2
Q328.4
95-th percentile28.6
Maximum28.9
Range1.2
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.17057144
Coefficient of variation (CV)0.0060361879
Kurtosis0.44454463
Mean28.25814
Median Absolute Deviation (MAD)0.1
Skewness0.12866579
Sum20656.7
Variance0.029094616
MonotonicityNot monotonic
2023-02-05T19:21:04.560140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
28.2 201
27.5%
28.3 141
19.3%
28.4 122
16.7%
28.1 117
16.0%
28.5 51
 
7.0%
28 32
 
4.4%
28.6 31
 
4.2%
27.9 22
 
3.0%
27.8 6
 
0.8%
28.7 5
 
0.7%
Other values (2) 3
 
0.4%
ValueCountFrequency (%)
27.7 1
 
0.1%
27.8 6
 
0.8%
27.9 22
 
3.0%
28 32
 
4.4%
28.1 117
16.0%
28.2 201
27.5%
28.3 141
19.3%
28.4 122
16.7%
28.5 51
 
7.0%
28.6 31
 
4.2%
ValueCountFrequency (%)
28.9 2
 
0.3%
28.7 5
 
0.7%
28.6 31
 
4.2%
28.5 51
 
7.0%
28.4 122
16.7%
28.3 141
19.3%
28.2 201
27.5%
28.1 117
16.0%
28 32
 
4.4%
27.9 22
 
3.0%

Pressure (in)_Avg
Real number (ℝ)

Distinct13
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.193707
Minimum27.5
Maximum28.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:21:04.861302image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum27.5
5-th percentile27.9
Q128.1
median28.2
Q328.3
95-th percentile28.5
Maximum28.8
Range1.3
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.17599445
Coefficient of variation (CV)0.0062423308
Kurtosis0.70561445
Mean28.193707
Median Absolute Deviation (MAD)0.1
Skewness-0.15647114
Sum20609.6
Variance0.030974046
MonotonicityNot monotonic
2023-02-05T19:21:05.152577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
28.2 174
23.8%
28.1 167
22.8%
28.3 133
18.2%
28.4 82
11.2%
28 73
10.0%
28.5 35
 
4.8%
27.9 30
 
4.1%
27.8 14
 
1.9%
28.6 12
 
1.6%
27.7 6
 
0.8%
Other values (3) 5
 
0.7%
ValueCountFrequency (%)
27.5 1
 
0.1%
27.6 2
 
0.3%
27.7 6
 
0.8%
27.8 14
 
1.9%
27.9 30
 
4.1%
28 73
10.0%
28.1 167
22.8%
28.2 174
23.8%
28.3 133
18.2%
28.4 82
11.2%
ValueCountFrequency (%)
28.8 2
 
0.3%
28.6 12
 
1.6%
28.5 35
 
4.8%
28.4 82
11.2%
28.3 133
18.2%
28.2 174
23.8%
28.1 167
22.8%
28 73
10.0%
27.9 30
 
4.1%
27.8 14
 
1.9%

Pressure (in)_Min
Real number (ℝ)

Distinct13
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.132695
Minimum27.5
Maximum28.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-02-05T19:21:05.439969image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum27.5
5-th percentile27.85
Q128
median28.1
Q328.2
95-th percentile28.4
Maximum28.7
Range1.2
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.17975856
Coefficient of variation (CV)0.0063896671
Kurtosis0.72844395
Mean28.132695
Median Absolute Deviation (MAD)0.1
Skewness-0.33491322
Sum20565
Variance0.032313138
MonotonicityNot monotonic
2023-02-05T19:21:05.718382image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
28.1 184
25.2%
28.2 180
24.6%
28 95
13.0%
28.3 78
10.7%
27.9 71
 
9.7%
28.4 65
 
8.9%
27.8 17
 
2.3%
28.5 17
 
2.3%
27.7 11
 
1.5%
27.6 5
 
0.7%
Other values (3) 8
 
1.1%
ValueCountFrequency (%)
27.5 4
 
0.5%
27.6 5
 
0.7%
27.7 11
 
1.5%
27.8 17
 
2.3%
27.9 71
 
9.7%
28 95
13.0%
28.1 184
25.2%
28.2 180
24.6%
28.3 78
10.7%
28.4 65
 
8.9%
ValueCountFrequency (%)
28.7 1
 
0.1%
28.6 3
 
0.4%
28.5 17
 
2.3%
28.4 65
 
8.9%
28.3 78
10.7%
28.2 180
24.6%
28.1 184
25.2%
28 95
13.0%
27.9 71
 
9.7%
27.8 17
 
2.3%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0.0
731 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2193
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 731
100.0%

Length

2023-02-05T19:21:06.018468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-02-05T19:21:06.313641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 731
100.0%

Most occurring characters

ValueCountFrequency (%)
0 1462
66.7%
. 731
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1462
66.7%
Other Punctuation 731
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1462
100.0%
Other Punctuation
ValueCountFrequency (%)
. 731
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2193
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1462
66.7%
. 731
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2193
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1462
66.7%
. 731
33.3%

Дата
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size5.8 KiB

Interactions

2023-02-05T19:20:49.898236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:36.628709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:40.519236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:44.270296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:48.111772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:52.089213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:57.415252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:02.856430image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:08.315099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:13.239237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:18.293210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:25.540452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:30.375780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:35.142676image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:39.844984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:44.820818image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:50.189036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:36.894540image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:40.753716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:44.502965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:48.544883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:52.303293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:57.805126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:03.159954image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:08.585390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:13.514196image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:18.748385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:25.830825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:30.658263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:35.413272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:40.138578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:45.108837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:50.488276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:37.136485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:40.995553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:44.754406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:48.770894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:52.536570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:58.047374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:03.395252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:08.872657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:13.795068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:19.088951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:26.140120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:30.960255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:35.690222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:40.464514image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:45.408175image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:50.771302image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:37.437399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:41.220589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:44.995032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:48.995140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:52.786481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:58.303145image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:03.828959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:09.179923image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:14.075767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:19.449694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:26.448227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:31.258445image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:35.970436image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:40.759735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:45.708208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:51.113739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:37.669716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:41.469638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:45.223869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:49.222985image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:52.990977image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:58.669173image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:04.070180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:09.490084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:14.373570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:20.421956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:26.778937image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:31.553619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:36.238538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:41.058169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:46.002693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:51.388490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:37.904251image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:41.686705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:45.581740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:49.470606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:53.236644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:58.888318image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:04.387222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:09.780825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:14.673408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:20.910585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:27.071379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:31.841820image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:36.503963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:41.358457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:46.298550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:51.663573image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:38.137232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:41.928391image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:45.820388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:49.703841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:53.595375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:59.258177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:04.765460image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:10.133691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:14.955668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:21.303200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:27.360894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:32.288483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:36.783409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:41.648295image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:46.579087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:51.948597image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:38.369224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:42.153919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:46.030916image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:49.921489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:53.820049image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:59.546282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:05.160047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:10.561147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:15.396146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:21.871004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:27.658364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:32.563585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:37.058418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:41.934078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:46.878615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:52.238171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:38.611264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:42.402949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:46.270262image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:50.162264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:54.059838image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:59.922092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:05.541707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:10.862049image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:15.896117image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:22.190292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:27.938640image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:32.889851image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:37.354124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:42.238223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:47.198694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:52.522274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:38.849041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:42.636649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:46.490655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:50.387274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:54.304083image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:00.378663image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:05.930451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:11.220899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:16.231643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:22.612860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:28.203225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:33.153210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:37.683793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:42.522362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:47.478014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:52.828532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:39.086606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:42.881480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:46.719973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:50.629183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:54.753993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:00.863044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:06.382810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:11.520132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:16.507752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:23.178559image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:28.489654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:33.433583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:37.953653image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:43.071758image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:47.791137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:53.110019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:39.329234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:43.114877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:46.937731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:50.878529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:55.071625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:01.268481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:06.698605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:11.810178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:16.754019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:23.502280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:28.778702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:33.708447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:38.228385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:43.339259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:48.108338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:53.409015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:39.570237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:43.345579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:47.171467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:51.113072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:55.418603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:01.646284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:06.994764image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:12.115439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:17.036853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:23.864912image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:29.178382image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:33.991682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:38.493304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:43.650134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:48.398730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:53.762333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:39.817646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:43.571532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:47.403739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:51.336687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:56.005672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:01.969462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:07.316877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:12.393962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:17.296146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:24.257644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:29.450700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:34.272743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:38.780692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:43.928568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:48.758500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:54.059231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:40.045782image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:43.812203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:47.645592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:51.564193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:56.429061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:02.219196image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:07.613986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:12.674807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:17.574013image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:24.725772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:29.743292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:34.558687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:39.070764image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:44.228562image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:49.086524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:54.358580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:40.286725image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:44.046173image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:47.856290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:51.838803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:19:56.916749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:02.511268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:07.877146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:12.953681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:17.860502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:25.082060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:30.053844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:34.857197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:39.358425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:44.510327image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T19:20:49.588309image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-02-05T19:21:06.608632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
day_of_weekTemperature (°F)_MaxTemperature (°F)_AvgTemperature (°F)_MinDew Point (°F)_MaxDew Point (°F)_AvgDew Point (°F)_MinHumidity (%)_MaxHumidity (%)_AvgHumidity (%)_MinWind Speed (mph)_MaxWind Speed (mph)_AvgWind Speed (mph)_MinPressure (in)_MaxPressure (in)_AvgPressure (in)_Min
day_of_week1.000-0.017-0.0060.008-0.023-0.014-0.001-0.072-0.0220.015-0.0480.0110.0490.0850.0820.075
Temperature (°F)_Max-0.0171.0000.9640.8570.8530.8430.807-0.116-0.593-0.651-0.010-0.121-0.151-0.212-0.120-0.077
Temperature (°F)_Avg-0.0060.9641.0000.9520.9250.9240.898-0.113-0.504-0.5050.058-0.015-0.071-0.296-0.200-0.140
Temperature (°F)_Min0.0080.8570.9521.0000.9480.9580.949-0.081-0.317-0.2880.1350.0870.030-0.363-0.274-0.200
Dew Point (°F)_Max-0.0230.8530.9250.9481.0000.9890.9620.121-0.192-0.2310.094-0.033-0.086-0.381-0.300-0.230
Dew Point (°F)_Avg-0.0140.8430.9240.9580.9891.0000.9850.126-0.165-0.1960.087-0.031-0.082-0.386-0.298-0.219
Dew Point (°F)_Min-0.0010.8070.8980.9490.9620.9851.0000.113-0.133-0.1390.082-0.016-0.055-0.388-0.299-0.216
Humidity (%)_Max-0.072-0.116-0.113-0.0810.1210.1260.1131.0000.6250.387-0.130-0.349-0.324-0.124-0.120-0.107
Humidity (%)_Avg-0.022-0.593-0.504-0.317-0.192-0.165-0.1330.6251.0000.907-0.019-0.083-0.031-0.078-0.124-0.102
Humidity (%)_Min0.015-0.651-0.505-0.288-0.231-0.196-0.1390.3870.9071.0000.0710.1040.126-0.101-0.152-0.130
Wind Speed (mph)_Max-0.048-0.0100.0580.1350.0940.0870.082-0.130-0.0190.0711.0000.7940.400-0.245-0.300-0.310
Wind Speed (mph)_Avg0.011-0.121-0.0150.087-0.033-0.031-0.016-0.349-0.0830.1040.7941.0000.657-0.134-0.185-0.194
Wind Speed (mph)_Min0.049-0.151-0.0710.030-0.086-0.082-0.055-0.324-0.0310.1260.4000.6571.000-0.052-0.090-0.115
Pressure (in)_Max0.085-0.212-0.296-0.363-0.381-0.386-0.388-0.124-0.078-0.101-0.245-0.134-0.0521.0000.9320.869
Pressure (in)_Avg0.082-0.120-0.200-0.274-0.300-0.298-0.299-0.120-0.124-0.152-0.300-0.185-0.0900.9321.0000.935
Pressure (in)_Min0.075-0.077-0.140-0.200-0.230-0.219-0.216-0.107-0.102-0.130-0.310-0.194-0.1150.8690.9351.000

Missing values

2023-02-05T19:20:54.918891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-02-05T19:20:55.328227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

day_of_weekTemperature (°F)_MaxTemperature (°F)_AvgTemperature (°F)_MinDew Point (°F)_MaxDew Point (°F)_AvgDew Point (°F)_MinHumidity (%)_MaxHumidity (%)_AvgHumidity (%)_MinWind Speed (mph)_MaxWind Speed (mph)_AvgWind Speed (mph)_MinPressure (in)_MaxPressure (in)_AvgPressure (in)_MinPrecipitation (in)Дата
0161.052.645.048.040.134.094.064.344.024.012.45.027.927.827.70.02018-04-01
1257.047.337.043.036.832.0100.069.738.017.08.81.028.228.127.90.02018-04-02
2370.050.032.043.035.630.0100.062.628.016.05.10.028.328.328.20.02018-04-03
3475.056.039.045.039.937.0100.059.527.015.05.20.028.328.328.10.02018-04-04
4573.058.448.055.046.341.094.066.137.015.04.20.028.228.128.00.02018-04-05
5657.054.550.057.053.448.0100.095.688.016.010.62.028.228.128.00.02018-04-06
6764.054.346.052.047.341.0100.079.652.014.07.01.028.428.328.20.02018-04-07
7870.055.441.048.043.939.0100.070.135.014.06.50.028.428.328.20.02018-04-08
8975.059.143.046.041.037.081.054.129.016.09.01.028.328.228.10.02018-04-09
91077.060.846.048.041.737.076.052.626.015.05.71.028.128.128.00.02018-04-10
day_of_weekTemperature (°F)_MaxTemperature (°F)_AvgTemperature (°F)_MinDew Point (°F)_MaxDew Point (°F)_AvgDew Point (°F)_MinHumidity (%)_MaxHumidity (%)_AvgHumidity (%)_MinWind Speed (mph)_MaxWind Speed (mph)_AvgWind Speed (mph)_MinPressure (in)_MaxPressure (in)_AvgPressure (in)_MinPrecipitation (in)Дата
7212255.045.634.039.036.232.093.070.751.017.09.80.028.228.128.10.02020-03-22
7222334.028.928.032.028.527.0100.098.393.014.08.70.028.228.228.20.02020-03-23
7232434.030.328.030.027.827.0100.090.275.017.09.40.028.328.228.20.02020-03-24
7242536.033.330.030.029.028.093.086.175.020.014.310.028.428.428.30.02020-03-25
7252639.036.134.034.032.030.093.085.175.018.011.06.028.428.328.30.02020-03-26
7262750.041.732.037.034.730.093.077.358.014.06.82.028.328.228.10.02020-03-27
7272855.045.034.037.035.432.093.070.347.010.04.61.028.128.128.00.02020-03-28
7282961.046.234.037.032.330.093.062.434.013.05.30.028.028.027.90.02020-03-29
7293059.046.630.036.031.828.093.060.534.016.07.10.028.128.128.00.02020-03-30
7303148.040.032.032.029.325.093.067.043.018.011.85.028.228.228.10.02020-03-31